Huawei Technologies R&D Europe Jobs

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3GPP Standardization Specialist

Huawei Leuven Research Center

Leuven, Belgium

Employee

Standardization Expert (3GPP)

The role requires familiarity with wireless communication technologies and standard developed by 3GPP, and experience in wireless communication research and attending 3GPP standardization meeting as a delegate.

We are looking for a 3GPP Standardization Expert/Delegate, who will be responsible to be a delegate to attend one of the 3GPP WG meetings, including RAN, RAN1, RAN2, RAN4, RAN5, SA1 and SA2. His/her primary focus will be the improvement of the Huawei Terminal’s leadership in the 3GPP by involving in the technical discussions and the communicating with other major companies.

The successful candidate will work alongside researchers, domestic standard delegates, engineers and developers, who contribute on different aspects of the project. Therefore, commitment to collaborative problem-solving, advanced design methods and the creation of quality products are essential attributes.

The company is putting together a new, dynamic, geographically-distributed team. The successful candidate will be given a choice of working either in Leuven (Belgium) or Reading (UK).

Responsibilities:

Attending one of the 3GPP meetings including RAN, RAN1, RAN2, RAN4, RAN5, SA1 and SA2 as a regular delegate. Communicating with global telecom companies including operators, infrastructure/terminal/chipset vendors for the industry information and views sharing.
Strategy development and planning for the standardization, and influencing the standardization strategy and timeline in 3GPP.
Pushing the requirements from the produce line and the techniques output by the research team. Recognizing new opportunities, risks and potential topics to research team and product team.
Understanding of the overall business picture in order to provide strategic advice to R&D and standardization teams. Working with multiple departments, coaching and mentoring other team members to a strong standard to consistently achieve best practices.
Reporting directly to the Director (European Standardization & Industry Development) based in Leuven (Belgium), though with European oversight, including the UK.

Travelling: International travel.

Qualifications and Skills:

Knowledge of wireless communication technologies and standard developed by 3GPP.
Experience and expertise as a 3GPP delegate.
Ability to understand business requirements and translate these into technical requirements.
Well communication skills, especially intercultural communication.

Languages: fluent English (spoken and written).

Desirable soft skills: adaptability (including culture-sensitive outlook), written and verbal communication, time management, stress management, conflict management.

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**5* Top Talent**

Huawei Gent Research Center

Gent, Belgium

Employee

Come on! Join Huawei Five Star Top Talent Recruiting Plan

We are looking for the Top Talent, if you are

· The Winner of top competitions (High school mathematics/ Physics competition, winner of ICPC, IMO, IMC etc.）

· Published papers in top magazines

· Have been granted patents application

· Top students with highest grade, received scholarship

· Other (e.g. Successful project experience)

Required skills/majors

· AI / Math/ Computer Science, etc.

· Software Engineering / database, etc.

· Physical/ Materials, etc.

Education

· M.Sc. or Ph.D.

· Graduate from 2017/2018/2019/2020

Worldwide challenge Topics are waiting for you

Topic:

1、Key technologies of the next-generation AI framework

2、Study on the Robustness of Deep Intensification Learning

3、Study on Hierarchical Strengthening Learning for Automatic Driving Application

4、Study on the Method of Minimal Target Segmentation in Medical Imaging

5、Formal Verification Platform Based on LLVM Intermediate Code

6、All-interactive intelligent project management assistant

7、Modeling and Navigation of Autonomous Robot in Unfamiliar Environment

8、Obstacle avoidance control for indoor flying robot

9、displayed in a hover box

10、Holographic video

11、Key points of dense 3D

12、Facial kinship recognition

13、Panoramic segmentation (Panoptic Segmentation)

14、Video analysis and identification

15、Research on High Precision and High Precision NVH Simulation Technology of Electric Drive System

16、Breakthrough in vulnerability discovery

17、Secure programming language

18、Proof of crash consistency of concurrent file systems

19、Real-time video quality detection

20、In-situ intelligent (In-Situ AI)

21、Active collaborative interaction technology

22、Research on Software Stack Based on New Hardware Interconnection

23、Research on Operating System and Virtualization Technology in Data Center Open Architecture

24、Research on Deterministic Technology of Automatic Driving

25、The ultimate performance of embedded software is doubled in two years.

26、Ark compiler

27、MindSpore depth probability calculation MindSpore

28、MindSpore Causal Cognitive Calculation MindSpore

29、Study the interpretability of AI technologies.

30、Data Storage and Optimization Oriented to Efficient AI

31、Multi-mode converged search

32、Knowledge-based semantic computing

33、low latency communications (LLC)

34、Future-oriented 3D GIS-Semantic, Mesh Simplification, and Indoor High-Precision Positioning

……（consistently updated ）

More challenges

More chances to change the World!

We offer

· Provide super competitive compensation package for Top talents (3 to 5 times of market pay);

· Provide world class challenging projects，global job opportunities based on the major of Top Talent and Huawei global business layout（Location: Globally, such as Sweden、Finland、France、UK, Germany、China, Russia, Poland, Belgium, etc.）

· Assign Fellow or top expert of Huawei as mentor to Top Talent

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Advanced Package SI/PI Expert

Huawei Leuven Research Center

Leuven, Belgium

Employee

We are looking more specifically for a 2.5D/3D Package SI/PI Expert

Responsibility:

SI/PI analysis and design for 2.5D/3D advanced high speed/high power chip package system;
Design rule development and implementation of in-house packaging layout to meet product requirements;
Define and develop package SIPI solution for high-speed and high-power large-scale chips in a cross-function team;
Model passive structures for bare die and packaging.

Specialized Knowledge:

Background PhD in electromagnetic field, microwave, RF, analog circuit, electronic engineering, telecommunication, etc.;
Knowledge of signal integrity, power integrity, semiconductor manufacturing process, package/PCB manufacturing process and high-speed SerDes principle and architecture.

Professional Skill：

Be proficient in using package design and EM modeling tools: Cadence Allegro APD & SiP tools, Sigrity XtractIM, PowerSI, Ansys HFSS, ADS, XcitePI, etc.;
Experience in SI/PI modeling of package/PCB;
Experience in passive parameters modeling of die;
Hands-on experience in lab measurement with TDR, VNA, Oscilloscope, Spectrum Analyzer, etc.;
Good oral and written communication skills in both English and Chinese, ability to work in cross-functional teams;
Familiarity with Linux OS and script tool (Perl/Python/Ruby etc.) is preferred.

Tasks:

As an advanced package SI/PI expert, you will be responsible for the development and planning for Hisilicon 2.5D/3D package SI/PI technology. Conduct development system certification and capacity building of network chips. Meanwhile, handle the whole end-to-end delivery works and lead Hisilicon long-term development in the field of advanced chips packaging.

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Applied Mathematics Research Scientist

Huawei Leuven Research Center

Leuven, Belgium

Employee

Our newly founded Network Technology Lab European Branch Division will play a leading role in researching new technologies for next generation networks. These include a.o. predictive network modeling, automated pattern detection/extraction and recognition/identification for multi-dimensional interaction modeling as well as fast converging solvers. Due to various operational or performance requirements, the corresponding tasks require in turn the solving of challenging mathematical approximation, estimation, and optimization problems to support online/sequential decision processes. In order to build a team of high-end experts engaged in research work in the field of networking, we are searching for an Applied Mathematics Research Scientist !

You want more?

Career in Huawei: candidate of Huawei Fellowship, opportunities of R&D on an international scale.
Working environment: globally teamwork across EU and Asia with English as business language.
Meaningful work: research results could support the requirement of Huawei’s products and solutions which are used and deployed in over 140+ countries and serving more than one third of the world’s population.
Team spirit: barrier-free communication between each researcher in Huawei, doors are open and collaborations are always welcome.

Position Responsibility:

Instigate and investigate emerging computational methods and technologies to build the best competitive solution by blending mathematical modeling, algorithmic and experimental/ numerical research.
Contribute to the tasks of the department by developing the experimental tools to validate and compare these methods by means of numerical experiments, valorize these methods through innovative use case.
New methods and technology promotion, including dialogue with R&D departments, public speech in world-class events, paper publication, academic collaboration, etc.

Position requirements:

PhD or eventually MSc degree in Applied mathematics, Mathematical engineering, Theoretical computer science, Computer science engineering.
- Note well: candidate must have obtained their University degree from an academic institution of one of the EU countries.
Strong research experience in either
- Continuous optimization and nonlinear programming together with very good knowledge of iterative and inexact methods for nonconvex optimization problems
- Functional analysis, nonlinear function approximation and related methods (incl. nonlinear adaptive, finite-element, wavelet methods)
- Statistical modeling, nonlinear regression analysis and distributional/generalized nonlinear methods
Good knowledge of programming language (C/C++, FORTRAN), functional programming language (LISP, Julia, etc.) or statistical programming languages (such as R) is considered as a plus.
Ability to initiate and develop new ideas and initiatives in collaboration with both external/academic partners.
Excellent Communication skills - Presentation, oral and writing skills.

Seniority Level

Entry level

Duration

2 years

Starting date:

1st 2020 (earliest) – Feb.1st 2021 (latest)

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CAD Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei Leuven R&D team develops next generation RF transceivers, supporting 4G (LTE) and 5G protocols.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

Assignment Description

We are seeking an EDA/CAD Engineer to support and develop EDA tools for analog RF design. The engineer will be hands-on with all phases of design including PDK/tool flow installation, database archive and validation, tapeout and support. The engineer must have expertise in analog and/or digital circuit design flows and tools. The self-motivated engineer must be able to anticipate problems and devise effective solutions.

Responsibilities:

Support CAD environment for the design of Analog RF, digital, integrated circuits for cellular applications.
Contribute to the development of design standards, IC development processes, CAD tools and design flows
Work in close collaboration with the CAD team in China
Help IT for the infrastructure definition

Required Education and Experience:

Industry Degree qualified (BS or MS degree)
Expertise in analog and/or IC design concepts and must demonstrate superior critical thinking skills, problem solving capabilities and engineering judgment
Fluent with analog EDA front and back end tools
- Cadence Virtuoso, ADE, Innovus, Genus, etc.
- SKILL programming
- Mentor Calibre (end user support and rule deck writing)
Detailed understanding of layout concepts
Strong UNIX/Linux and scripting language (Perl/TCL/csh/etc) .
Not required but preferred
- Perforce, SVN
- Ocean scripting
- Lsf
Good communication skills & team-player
Continuous strive for improvement in process
Detail oriented and determined
Relocation to Belgium, if applicable, is strongly recommended

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Data Scientist - Machine Translation

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

Huawei R&D Centre Amsterdam is looking for a Data Scientist - Machine Translation to join our growing machine translation team and work on large scale neural machine translation systems. We build and maintain cutting-edge machine translation systems for a variety of challenging language pairs that find application in Huawei’s Cloud Search environment. The team actively researches new directions in machine translation to improve our models and open new avenues for application. We are looking to expand our team to cover more language pairs and more domains. This is a great opportunity for an expert in machine translation who is looking to have real world impact at a large scale.

Responsibilities

You will work with a team of applied scientists and engineers who are responsible for all stages of the machine translation model development, including data set selection and filtering, model training and evaluation and domain adaptation. Your responsibilities will include:

Design, develop, test, maintain and debug software programs for the key stages of the machine translation model lifecycle
Create and implement new algorithms to solve applied problems in machine translation, such as cross-lingual transfer, domain-adaptation, model compression or data set filtering.
Lead the team to break through major algorithmic issues
Research new directions to solve problems in machine translation, such as multi-lingual translation, quality estimation and techniques for low-resource languages and domains

Primary Location

Amsterdam

Required Qualifications:

MSc in artificial intelligence, computational linguistics, mathematics, or a related field
Experience in building machine translation systems
Excellent coding abilities in Python and strong familiarity with deep learning and machine translation frameworks

And at least one of the following requirements:

Research contributions in the field of machine translations in one of the top tier NLP conferences (i.e. EMNLP, ACL, NAACL, etc.)
Strong engineering experience in building, maintaining, improving and deploying large scale machine translation systems

Preferred Qualifications:

PhD in machine translation
Proven record of contributions to open source machine translations or sequence to sequence modeling toolkits (or codebases)
Experience processing non-European languages

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Data Scientist of Search

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Huawei Search Team will leverage the best talent and infrastructure to build an industry-leading Cloud Search product that will allow Huawei mobile phone users to search over all their queries with best-in-industry with advanced user experiences, such as intention recognition, that would tremendously increase their experience. Our mission will be accomplished through utilizing advanced technologies to ensure knowledge data discovery and extraction, create intelligent experience, and design a robust data storing, indexing and querying architecture.

Responsibilities

You will work with a team of applied scientists and engineers who are responsible for all stages of the search engine including offline page storing/analysis/indexing, online querying/reranking/sorting. Your responsibilities will include:

Design, develop, test, deploy, maintain and debug software programs for the key stages of the whole search sub-systems.
Creates and implements new or uses existing traditional and deep learning algorithms, to solve applied problems in search engine, such as machine translating, text classification, NLU, etc.
Lead the team to break through major algorithmic issues.
Customize universal search features to local language and applications.
Design and localize universal search engine, such as multi-language recognition, adapt to local applications and POI.

Primary Location

Amsterdam

Qualifications

Required Qualifications:

MS/BS in CS/EE, mathematical or machine learning related subjects.
Strong experience in designing, developing and shipping software (Minimum: 5 years)
Excellent coding abilities in C、C++ 、Java、Python
Strong programming and algorithm design skills and real passion for search engine.
Expertise in two or more areas of large scale search systems (distributed database internals, performance optimization, data warehousing and integration, query optimization, indexing, memory management, distributed file system, etc.).
Knowledge and understanding of parallel programming, thread programming, concurrency control and scalability.

Preferred Qualifications:

Working experience in MS Bing, Google Search, Yanex or related search operators.
Academic achievements in searching related area, such as Information Retrieval, NLP, Multi-language recognition/extraction, Knowledge Graph, etc.
Concrete product experience in natural language processing, machine leaning, deep learning or data mining area.
5+ years designing, developing large scale, high performance data storing, indexing, ranking system

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Deep learning Research Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Deep learning Research Engineer, Maps Search / Routing / Traffic / ETA / Datamining

Responsibilities

Pre-research and make breakthroughs in core map algorithms. The effect and performance of the algorithms exceed 30% of the best practices in the industry.
The research direction can be road condition, ETA, path calculation, or map search.

Minimum qualifications

Have strong capabilities of common machine learning algorithms, including learning to rank and deep learning.
Be familiar with the Linux platform, C/C++ programming language, Python, Shell, or other scripting languages.
Be able to combine AI technologies with map requirements.

Preferred Qualifications

Have practical experience in road conditions, ETA, and navigation.
Published articles on related topics at top academic conferences
Published articles on related topics at top academic conferences

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Device Power Charging Standardization Specialist

Huawei Leuven Research Center

Leuven, Belgium

Employee

The role requires familiarity with Device Power Charging related standards, such as USB PD, USB-C interface, WPC Qi, and experience in generic hardware interfaces including MIPI, JEDEC and PCIe etc, stakeholders’ initiatives and European and international standardization.

We are looking for a Standardization Manager, who will be responsible to enhance the company push in device charging. His/her primary focus will be the strategy development for standard participation and roll out, in cooperation with the R&D team. Participation in the relevant standardization bodies including USB-IF,WPC and/or ETSI, CENELEC will be needed.

The company is putting together a new, dynamic, geographically-distributed team. The successful candidate will be given a choice of working either in Leuven (Belgium) or Reading (UK).

Responsibilities:

As technical expert in device power charging, make decisions or technology plans, ensuring alignment with department strategy and the product roadmap, to build a technical architecture that meets the requirements for product competitiveness.
Strategy development of standard participation with research and development teams.
Leading standard initiatives in several standards on behalf of the company, including position campaign in a standard development organization.
Working with multiple departments, coaching and mentoring other team members to a strong standard to consistently achieve best practices.
Reporting directly to the Director (European Standardization & Industry Development，Consumer Business Group) and work closely with a multi-nation team including France, Finland, Belgium, China, etc.

Travelling: International travel, mostly within Europe (25% of the time).

Qualifications and Skills:

A bachelor’s degree is required.
10 years+ rich device charging work experiences; familiar with USB-C, USB PD, Qi and/or Power Charging standards in ETSI and CENELEC, etc.
In-depth knowledge of device charging technology, including but not limited to charger architecture, charging protocol/PHY layers, charging connectors & cables, power management system, WPT Tx & Rx designs and FOD etc.
Experienced in standard organization operation, attending standardization meetings for years. Positions (specification editors, WG/TSG chairs, boards etc.) of SDOs are preferable. Industry influence in mobile processor interface community is preferable.
Languages: fluent English (spoken and written).

Desirable soft skills: adaptability (including culture-sensitive outlook), written and verbal communication, time management, stress management, conflict management.

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Ecosystem Manager consultant

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

Responsibilities:

Responsible for the construction and maintenance the relationship with the partner of Petal Search ecosystem in the local market, include content integration cooperation, Traffic cooperation and monetization cooperation.
Responsible for search & mobile internet & vertical industry (News, Shopping, Local POI, Nearby, Travel etc..) & search ads ecosystem insight & market investigation, find out the new leads of searching service, sourcing for potential search local partner.
Responsible for local user’s behavior analytics and search market analytics , planning the new search feature and products of local market, including experience design, sourcing for the data source, local market trial;
Responsible for integration pattern & business model design for cooperation, support BD department to negotiation & contract with partners.
Responsible for Planning marketing event & promotion of Petal Search, including event sponsorship, event participation, key note speech and so on, increasing Petal Search product awareness in partners.

Professional knowledge requirements

Minimum 2 years of mobile internet and search operation experience;
Deeply insight of local ecosystem of searching and Search ads. Good understanding with local users’ behavior and mobile internet ecosystem.
Have good connection with local ecosystem partners of search or the other relative domain.
Familiar with architecture of searching engine, and keyword advertisement system.
Familiar with the concept or knowledge of web page indexing, crawl, page ranking, keyword biding, CTR, CPC and so on.
Mobile internet product planning experience is preferred. Good data analysis capability, familiar with the tools of analysis and data model.

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eHealth standardization Manager

Huawei Leuven Research Center

Leuven, Belgium

Employee

The role requires familiarity with eHealth devices and biometrics, experience in EU-funded eHealth research and innovation programmes as well as European and international standardisation in biometrics and digital health.

We seek someone who will be excited to develop a global technology and take the lead in a brand-new project, including nurturing a new ecosystem and transforming the company into a provider of consumer services and digital lifestyle.

We are looking for a Standardisation Manager, who will be responsible to guide the company towards a new business area. His/her primary focus will be the creation of an ecosystem, including the liaison with the R&D team developing mobile applications and their integration with back-end medical services.

The successful candidate will work alongside researchers, engineers and developers, who are involved on different aspects of the ecosystem. Therefore, commitment to collaborative problem-solving, sophisticated design and the creation of quality products are essential attributes.

The company is putting together a new, dynamic, geographically-distributed team. The successful candidate will be given a choice of working either in Leuven (Belgium) or Reading (UK).

Responsibilities:

Responsible for communicating with European medical device regulators and help the company to structure planning and roadmap for medical certification (e.g. CE marking).

Technical owner for current and future digital health applications.

Have a broad, but specialist knowledge of design and development of biometrics and eHealth devices and mobile applications.

Understand the development of mobile application features that meet the scope of their vision.

Knowledge of implementation of user interfaces to match design specs.

Health informatics, including point-of-care medical device communication, personal health device communication, service architecture, electronic health records (EHR), interoperability.

Knowledge of Joint Initiative Council (JIC) Standardization on SDO Global Health Informatics, including CEN/TC 251 and ISO/TC 215.

Work with multiple departments, including Planning, Test and Software teams as well as customer services and feedback from user surveys.

Knowledge of management and maintenance of supporting tools critical to the development process as well as the management of platform app store configurations.

Understanding of the overall business picture in order to provide strategic advice to R&D and standardization teams.

Coaching and mentoring other team members to a strong standard to consistently achieve best practices.

Travelling: International travel, mostly within Europe (25% of the time).

Qualifications and Skills:

Engineering or Computer Science degree or other related University degree. Familiarity with digital health applications, Internet of Things and biometrics.

Have involved in medical device regulatory activity, including but not limited to, working with regional regulators to define or implement medical device certification regulations or standards (e.g. MDD / MDR). Working for medical company / clients to help them pursuing medical certification (e.g. CE marking) or help defining medical strategies.

Knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.

Experienced developer with knowledge of Java for Android.

Knowledge of Android UI design principles and best practices.

Ability to design eHealth applications around natural user interfaces.

Knowledge of the Open Source Android ecosystem and the libraries available for common tasks.

Ability to understand business requirements and translate these into technical requirements.

Familiarity with cloud message APIs and push notifications.

Understanding of Android design principles and interface guidelines.

Proficient understanding of code versioning tools, such as GitHub.

Languages: fluent English (spoken and written), French and/or Dutch considered as positive assets.

Desirable softskills: adaptability (including culture-sensitive outlook), written and verbal communication, time management, stress management, conflict management.

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Filter Package Expert

Huawei Leuven Research Center

Leuven, Belgium

Employee

Responsibility:

Be responsible for Filter packaging material & structure selection and new product introduction;
Guarantee manufacturability, reliability and applicability of Filter.

Specialized Knowledge:

Background PhD in electromagnetic field, microwave, RF, analog circuit, electronic engineering, telecommunication, etc.;
Be proficient in filter packaging technology and materials;
Familiarity with SIP packaging process;
Familiarity with semiconductor materials；
Knowledge of filter electrical properties;
Background in RF/analog circuit, electronic engineering, telecommunications, materials and mechanics and related fields;
Knowledge of semiconductor manufacturing and PCB manufacturing process.

Professional Skill：

10+ years’ experience in filter packaging design and manufacturing;
Ability to provide design guidance for Filter structure & material development and mass production application;
Familiarity with package electrical, thermal and mechanical analysis methods;
Familiarity with reliability failure analysis methods." "

Tasks:

As a filter package expert, you will cooperate with the chip design team to formulate and confirm the packaging scheme, and then evaluate wafer-level packaging process, materials and reliability performance of filter devices. Lead colleagues and foundries to establish filter packaging design and engineering specifications; meanwhile, support Hisilicon filter packaging team to achieve technical accumulation as well as make long-term technology development plan.

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Financial Analyst

Huawei Leuven Research Center

Leuven, Belgium

Employee

Responsibilities:

Prepare Budget, Forecasting and execution tracking analysis by communicating with BUs within the Company or the Group from time to time;
Perform BS/PL/CF analysis, identify & articulate exceptions with solutions
Test of internal control and initiate plan for process optimization
Perform Fund planning and variance analysis (Monthly and weekly) for the company as well as communication with both local banks and treasury team from HQ
Assist to liaise with partners for the cooperation project including Billing Funding and Joint Audit etc.
Assist to attend annual audit and tax compliance of the company
Document Archive and filling management

Skills and Qualifications:

Degree of Finance or Accounting (Bachelor or above) with CPA or CMA a plus.
3-5 years finance working experience, ideally with minimum 3 years of audit experience in Big 4;
Strong Business Acumen with experience of in in-house finance management such as Budget planning & analysis; Good Knowledge of Hyperion and Oracle reporting tool;
Ability to coordinate and control a range of activity and contribute advice independently
Attention to accuracy and hands-on detail work attitude.
Fluent in English (Oral and written), Dutch&/or French is a plus, Chinese would be advantage
Team player with Strong communication skills and working knowledge of Excel
Self-motivated ,strong sense of responsibility, with Enthusiasm and flexibility to take lead and initiative for continuous improvements

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Hardware Interface Standardization Specialist

Huawei Leuven Research Center

Leuven, Belgium

Employee

The role requires familiarity with hardware interface standards, such as MIPI, JEDEC, PCIe, USB and experience in high speed hardware interface research and innovation programs, stakeholders’ initiatives and European and international standardization of hardware interface.

We are looking for a Standardization Manager, who will be responsible to enhance the company push in hardware interface. His/her primary focus will be the strategy development for hardware interface standards participation and roll out, including the liaison with the R&D team. Participation in the relevant standardization bodies including JEDEC, MIPI, PCI-SIG, USB-IF will be necessary.

The company is putting together a new, dynamic, geographically-distributed team. The successful candidate will be given a choice of working either in Leuven (Belgium) or Reading (UK).

Responsibilities:

As technical expert in hardware interface, make decisions or technology plans, ensuring alignment with department strategy and the product roadmap, to build a technical architecture that meets the requirements for product competitiveness.
Strategy development of standard participation with research and development teams.
Leading a standard team to participate in several standards on behalf of the company, including position campaign in a standard development organization.
Working with multiple departments, coaching and mentoring other team members to a strong standard to consistently achieve best practices.
Reporting directly to the Director (European Standardization & Industry Development，Consumer Business Group) and work closely with a multi-nation team including France, Finland, Belgium, China, etc.

Travelling: International travel, mostly within Europe (25% of the time).

Qualifications and Skills:

A Master’s degree is required; A Ph.D. majoring in Electrical Engineering or Communication is preferred.
10 years+ rich hardware interface work experiences; Familiar with C-PHY, D-PHY, M-PHY, CSI, DSI, I3C, LPDDR, PCIe, UFS, USB, and/or Power Charging interfaces, protocols, etc.
In-depth knowledge of various mobile processor interfaces, Protocol/PHY layers, with advanced research in creating innovative PHY algorithms and architectures that can significantly improve PHY performance, or experience working on protocols and architecture designs, including but not limited to features and functions on one or more of the areas: camera, RAM, UFS, Sensor, RF, Sound.
Experienced in standard organization operation, attending standardization meetings for years. Positions (chairs, BOD, editor etc.) of SDOs are preferable. Industry influence in mobile processor interface community is preferable.

Languages: fluent English (spoken and written).

Desirable soft skills: adaptability (including culture-sensitive outlook), written and verbal communication, time management, stress management, conflict management.

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HSE Facility & Admin Specialist

Huawei Leuven Research Center

Leuven, Belgium

Employee

Responsibilities:

As Junior HSE, you are responsible for keeping people safe at their work sites, develop policies and procedures to make sure people aren't harmed by their jobs, investigate and report accidents, and provide guidance to leaders on how to comply with the law. You may also take responsibility for health-related projects, such as organizing talks and training for staff.

Other typical responsibilities of the job include:

Investigating health-related complaints and cases of ill health
Carrying out risk assessments and site inspections
Ensuring that equipment is installed correctly and safely
Identifying potential hazards
Determining ways of reducing risks
Compiling statistics and writing reports
Running health and safety meetings and training courses for employees
Liaising with external health and safety authorities
Keeping up to date and ensuring compliance with current health and safety legislation.

As Facility Specialist, you are in charge of the company operations support by maintaining & organizing efficiency by planning and implementing office systems, office operations and procedures, controlling correspondence, designing filing systems, reviewing and approving supply requisitions and equipment procurement.

You are also in charge of the administrative service requirements of the company, organize related resources, and provide qualified administrative services.

You are also responsible for:

Designs and implements office policies by establishing standards and procedures, measuring results against standards, and making necessary adjustments.
Completes operational requirements by scheduling and assigning employees; following up on work results.
Keeps management informed by reviewing and analyzing special reports; summarizing information; identifying trends.
Maintains office staff by recruiting, selecting, orienting, and training employees.
Achieves financial objectives by preparing an annual budget, scheduling expenditures, analyzing variances, and initiating corrective actions.
Contributes to team effort by accomplishing related results as needed.

Qualifications and training required

Bachelor or above
Qualification approved by the Institution of Occupational Safety and Health (IOSH).

Competencies required:

Min 4 years exp. in a related domain, preference in a big company
knowledge of administrative services (such as RE, IFM, catering, dormitory, vehicle, and asset)
Have general knowledge of finance and internal processes control
Team management and leadership
Good communication skills and strong project management capabilities
Strong analytical and problem-solving skills

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Internship in Accelerated Training with Fast Converging Solvers

Huawei Leuven Research Center

Leuven, Belgium

Student

In neural-based learning, a generalized model must be extracted and selected from a finite set of input-output samples drawn from an unknown probability distribution that should be descriptive enough for unseen/new input data. Due to the nonconvexity of the set of functions that can be approximated by neural networks and the nonconvex property of the objective function to be minimized, training performs by solving nonconvex optimization problems over nonconvex sets. These neural networks are primarily those involved in nonlinear function approximation underlying automated pattern detection/ extraction and recognition/identification such as multi-dimensional interaction modeling and their synthetic representation. In the context of communication networks, for instance, trained neural models aim at augmenting -or even replacing- current local routing and forwarding processes. Due to various operational or performance requirements, the corresponding tasks require in turn the solving of constrained nonconvex optimization problems.

On the other hand, despite recent advances in automatic differentiation (AD) algorithms and software,

incorporating automatic differentiation tools in optimization solvers remains largely unexploited. Commonly, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. However, AD remains largely unexploited for generating these quantities; requiring consequently to run the entire framework and its packages altogether to solve nonlinear optimization problems. Moreover, for constrained neural networks training, it would be beneficial to solve the corresponding optimization problems by means of unified AD tools. In this context, the main goal is to blend AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM for constrained problems.

Objective: instigate and investigate automatic differentiation tools for nonconvex optimization solvers that can rapidly converge with few function and derivative evaluations as well as provide and improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s): design/formulate, develop and numerically evaluate enhancements of existing computational methods/algorithms such as ALM for solving constrained nonconvex optimization problems. To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration: from 6 months to 1 year (max.)

Candidate profile:

If MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied mathematics, Math. engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
If internship: the candidate must have completed his/her MSc (in one of these disciplines) and ideally realized a thesis in one of the following domain(s): nonlinear programming, computational methods and algorithms for nonconvex optimization (incl. second order iterative methods, subspace methods, etc.), automatic differentiation. Copy of the MSc diploma/ certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of functional programming language (LISP, Julia, etc.) is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

Starting date: Oct.1st, 2020 (earliest) – Dec.1st, 2020 (latest).

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Java Software Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Java Ad System Software Engineer

About the position

Advertising media include Huawei's own media and third-party media. Huawei own media include HUAWEI Assistant, HUAWEI Browser, HUAWEI Video, HUAWEI Music, and HUAWEI Reader. The third-party media in China are mainly game applications. The traffic is generated by these game applications installed on Huawei phones. The purposes of advertisement promotion include app download, advertisement clicking, and questionnaire survey.

In RTB advertisement, DSP (demand side engine) is the core function component. DSP includes three main functional modules: advertising retrieval, CTR estimation, and bidding sorting. In this project, we mainly focus on ad CTR/CVR estimation. The service-oriented object is the DSP engine of Huawei ad platform.

Responsibilities:

Support Huawei's international business, responsible for the construction of advertising application platform, including advertiser platform, settlement, risk control, DMP, etc., to support the rapid development of the business.

Participate in the construction of Huawei's advertising application, and devote to the industry's top technology ecology.

Requirements:

3 to 5 years of Java development experience, good at business system architecture design, as long as a certain project coordination and promotion ability.

Make good use of JDK in collection, IO, concurrency, threading, reflection, class system and other aspects with solid Java foundation, proficient in JVM tuning.

Familiar with common Java open source frameworks such as Spring / MyBatis / Tomcat / Dubbo, have a better understanding of the operating principle.

Proficient in database design (Mysql Prior), excellent SQL writing and tuning capabilities, familiar with common SQL storage, such as Hbase, memcached, redis, mongodb, etc.

Experience in architecture design, R & D, operation and maintenance of large-scale highly concurrent Internet applications, familiar with conventional distributed architecture, familiar with open source middleware such as cache, message stack, etc.

Have better communication skills, clear thinking, and good at thinking, able to analyze and solve problems independently.

Have a strong sense of responsibility and teamwork spirit, good resistance to stress, a positive attitude, can actively integrate into the team

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Knowledge Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

We are looking for people passionate about building ontologies, creating rules and managing graph schema definitions

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience with Huawei Mobile Service (HMS). You will work within a fast-paced international team of expert scientists and engineers, and you will have the opportunity to learn, experiment and take a pro-active part in building a state of the art, highly performant and infinitely scalable knowledge graph engine that will power the search experience of millions of users. As a Knowledge engineer, your primary job will be to align ontologies, properties and rules across various public data repositories, as well as to write efficient data ingestion and reconciliation pipelines. Services across the organization will directly benefit from your input: E-commerce, Q&A systems, Machine Translation, User Recommendations, NER, NLU and various Classification tasks.

Responsibilities

Maintain the alignment of our Schema definitions with public knowledge repositories
Use of internal tools to transform any dataset into a unified graph representation
At your discretion, build small tools to automate your tasks and make your job more fun and efficient
Continuously research, assess and recommend new technologies, methods and processes.
Evangelize the benefits of knowledge graphs and provide hands-on support to teams across the organization
Help build a positive, energetic and most importantly cool team culture.

Requirements

Practical experience working with Open data or public knowledge repositories such as Wikipedia and Wikidata
Practical experience with any of the following technologies would be considered a big plus: Go, Python, Graph databases, Knowledge graphs, Tensorflow, PyTorch
Hands on experience in defining, creating and managing ontologies in the fields of e-commerce would be considered a plus
Work well independently and in multi-group cross-discipline environment.
A strong technical foundation and strong communication on ideas, reasoning, benefits, costs, and risks to multiple audiences.
Excellent communication and collaboration skills in English.

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Linguist Evaluator

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

For our R&D Centre in Amsterdam we are looking for a Linguistic Evaluator to join our team

About The Job

You'll work as an integral part of an operational team, sifting language materials against requirements to identify reportable intelligence that will be forwarded to analysts to help shape and influence their operational decision making.

As a Linguist Evaluator. You will be involved into evaluating the performance of the system, annotating linguistic data and working closely with our engineering team, including managing the language data systems for NLP development, annotating linguistic data and evaluating the performance of the system.

You will use your analytical mindset, strong communication skills, collaborative attitude, and personal drive to increase the performance of the system

Qualifications

1+ years of experience in Analytical, Logical, Eye for detail and self learning with minimal support
Tech Savvy, comfortable using internet based applications - surveys
Fluent in local language & deep appreciation of local nuances (lived/living in assign market)
Good web research skills and analytical abilities.
Have in-depth, up-to-date familiarity with current country's social culture, media, and web culture
comprehension and written communication skills in English (Bilingual skills is a plus)
Broad range of interests, with specific areas of expertise a plus

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Linguistic Manager

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

For our R&D centre in Amsterdam we are looking for a Linguistic Manager to join our team.

About The Job

You'll work as an integral part of an operational team, sifting language materials against requirements to identify reportable intelligence that will be forwarded to analysts to help shape and influence their operational decision making.

As a Linguist Manager, you will manage the daily operations of a computational linguist team. You will set the strategic direction of Linguist teams that interface closely with our engineering team, including managing the language data systems for NLP development, annotating linguistic data and evaluating the performance of the system.

You will manage the linguistic data for cross-functional teams and influence the prioritization of the engineering work streams. You will be responsible for implementing the strategic vision for data-based model and product improvements, work with cross-functional partners to create consistent language products across languages You will use your analytical mindset, strong communication skills, collaborative attitude, and personal drive to achieve team goals.

Minimum Qualifications

Bachelor's degree in Linguistics, Speech Science, or related field.
2+ years of experience in linguistic operation, natural language processing research or related fields.
Experience with morphology, syntax, semantics and/or discourse.
Experience with experimental design, research methodologies, qualitative and quantitative analysis.

Preferred Qualifications

Master’s degree or higher.
Advanced degree in Linguistics, Speech Science, or related field
Experience annotating data with linguistic, syntactic, semantic, pragmatic, phonetic, phonological, and prosodic information
Strong professional English skills
Ability to adapt to changing requirements, priorities, and revisions
Strong attention to detail
Clear communication style
Native level proficiency in one of the following languages: Spanish, French etc (should change based on the required language)
Experience recruiting and managing technical teams, including performance management
Demonstrated experience interfacing with other internal and external teams
Experience with hierarchical structures, ontologies, text labelling problems or similar

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Machine Learning Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Machine Learning Engineer to join our Search Engine team in Amsterdam

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience on Huawei mobile phones. The team is responsible for all stages of search engine, including offline storage, analysis and indexing, online query processing and result re-ranking. We are looking for an experienced Machine Learning Engineer to join our team and together build the future of search.

Our mission is to build a state-of-the-art search experience using the latest techniques in information retrieval, machine learning and natural language processing. We maintain active collaboration with local universities to push the envelope on search and deliver the best customer experience.

You will work within a fast-paced team of applied scientists and engineers. You are expected contribute robust algorithms, help build a positive team culture and participate in research projects that lead to papers and patents.

Responsibilities

Design, develop, test and deploy highly scaled machine learning systems for search
Work together with applied scientists and machine learning engineers in an agile team to localise the search engine to Europe

Requirements

Master’s in Computer Science, Applied Mathematics, Physics or Statistics.
Strong background in machine learning theory and practice with at least 3 years of hands-on experience implementing and deploying large scale machine learning systems.
Strong proficiency in Java and Python and experience with at least one deep learning framework like PyTorch or Tensorflow.
Experience with ElasticSearch, Spark, Hive, Hadoop or other big data technologies
Strong understanding of system design, data structures and algorithms.
Experience with Search Engines, NLP or Recommender Systems is a pre.
Excellent communication and collaboration skills

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MSc Student Internship in Iterative methods for nonconvex constrained optimization

Huawei Leuven Research Center

Leuven, Belgium

Student

In the context of context of communication networks, neural networks are primarily involved in automated pattern detection/extraction and recognition/identification tasks in online signal processing (packet flows for instance) but also sub-graph analysis (network topology and path properties). Neural models aim at augmenting -or even replacing- current local routing and forwarding models and processes. For this purpose, a generalized model must be extracted and selected from a finite set of input-output samples drawn from an unknown probability distribution that should be descriptive enough for unseen/new input data. However, due to the nonconvexity of the set of functions that can be approximated by neural networks and the nonconvex property of the objective function to be minimized, their training performs by solving nonconvex optimization problems over nonconvex sets. Moreover, due to various operational or performance requirements, training further involves the solving of constrained nonconvex optimization problems.

On the other hand, automatic differentiation (AD) onto which neural training algorithms relies, remains largely unexploited in optimization solvers. Commonly, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. However, AD remains largely unexploited for generating these quantities, requiring in turn to run the entire framework and its packages altogether to solve nonlinear optimization problems. For constrained neural networks training, it would also be beneficial to solve the corresponding nonconvex constrained optimization problem (including inequality constraints) by means of unified AD tools. Indeed, combining AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM yields a promising method.

Objective: investigate nonconvex optimization solving methods that can rapidly converge with few function and derivative evaluations as well as provide and improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s):

Formulate, develop and numerically evaluate enhancements/extensions of computational methods/algorithms including ALM for solving constrained nonconvex optimization problems.
To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems.
Integration of these tools into a unified AD framework will be realized in cooperation with computational/numerical method experts. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration:

Short duration (from 3 to 6 months): suited for MSc curriculum course
Long duration (up to 12 months): suited for MSc thesis internship
Note well: unpaid student internship (no working contract), only direct costs are reimbursed up to 660 Euros per month

Candidate profile:

MSc (or last year of MSc curriculum) in applied mathematics, mathematical engineering, theoretical computer science, or computer science engineering.
Strong nonlinear modeling and mathematical programming skills.
Very good knowledge of techniques such as first-/second-order iterative methods, inexact methods and Krylov subspace methods ((B)CG, Lanczos, GMRES, MINRES, Arnoldi, etc.) for nonconvex optimization problems.
Experience in programming with nonlinear optimization libraries, e.g., LANCELOT/ CUTE, MINOS, TRON, NLopt, etc.
Excellent written, verbal and interpersonal communication skills.
Knowledge of functional programming language (LISP, Julia, etc.) is considered as a plus.

Application requirements

Certified copy of the MSc diploma/certificate shall be included in annex of the CV.
The CV shall indicate the detailed coordinates of the current or eventually the last academic institution and department of the candidate.
The CV shall include a detailed list of publications/achievements in relation to the job description.
Note well: the candidate must follow or have obtained his/her MSc degree from an academic institution of one of the EU countries.

Starting date: Feb.1st, 2021 (earliest) – Mar.31st, 2021 (latest).

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Network Research Scientist

Huawei Leuven Research Center

Leuven, Belgium

Employee

Our newly founded Network Technology Lab European Branch Division will play a leading role in researching new technology and delivering specific solution for the next generation networks including Internet, Enterprise, IOT, Industrial Ethernet etc. In order to build a team of high-end experts engaged in research work in the field of networking, we are searching for a Scientist Researcher of Next Generation Network.

You want more?

§ Career in Huawei: candidate of Huawei Fellowship, opportunities of R&D on an international scale.

§ Working environment: globally teamwork across EU and Asia with English as business language.

§ Meaningful work: research results could support the requirement of Huawei’s products and solutions which are used and deployed in over 140+ countries and serving more than one third of the world’s population.

§ Team spirit: barrier-free communication between each researcher in Huawei, doors are open and collaborations are always welcome.

Position Responsibility:

§ Study futuristic technology and industry trends for future network areas, especially in IP network area, to build the best competitiveness network solution and product

§ Execute the strategies and tasks of department, such as technology research, Eco-systems building, customer communication, academia or industry collaboration, etc.

§ New technology promotion, including dialogue with tier 1 operators, public speech in world-class events, paper publication, industry alliance collaboration, etc.

Position requirements:

§ Preferably PhD degree in Computer Science, Electrical Engineering, Mathematic, etc., or eventually Master ready to start with a PhD.

§ 5+ years of research experience in network areas, include but not limited to network architecture, system, protocols, etc.

§ With representative research output in network areas.

§ Ability to initiate and develop new ideas and initiatives in collaboration with both external and internal partners.

§ Excellent Communication skills – Presentation, oral and writing skills.

§ Strong business development and collaboration skills.

§ Previous research experience with industries would be a plus.

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Numerical Optimization Research Scientist

Huawei Leuven Research Center

Leuven, Belgium

Student

In the context of context of communication networks, neural networks are primarily involved in automated pattern detection/extraction and recognition/identification tasks in online signal processing (packet flows for instance) but also sub-graph analysis (network topology and path properties). Neural models aim at augmenting -or even replacing- current local routing and forwarding models and processes. For this purpose, a generalized model must be extracted and selected from a finite set of input-output samples drawn from an unknown probability distribution that should be descriptive enough for unseen/new input data. However, due to the nonconvexity of the set of functions that can be approximated by neural networks and the nonconvex property of the objective function to be minimized, their training performs by solving nonconvex optimization problems over nonconvex sets. Moreover, due to various operational or performance requirements, training further involves the solving of constrained nonconvex optimization problems.

On the other hand, automatic differentiation (AD) onto which neural training algorithms relies, remains largely unexploited in optimization solvers. Commonly, the solving of bound-constrained nonlinear optimization problems with, e.g., the Newton method or the Augmented Lagrangian Method (ALM), require the evaluation of the objective function, its gradient and the (sparsity pattern of the) Hessian matrix. Additionally, constrained optimization problems also involve providing the sparsity pattern and the Jacobian matrix of the constraints. The time and resource required to obtain this information and verify their correctness can be relatively large even for simple problems. Nowadays, optimization problem-solving environments provide modeling language and state-of-the-art optimization solvers together with packages that are capable to compute first-order information, e.g., derivatives, gradients. However, AD remains largely unexploited for generating these quantities; requiring consequently to run the entire framework and its packages altogether to solve nonlinear optimization problems. Moreover, for constrained neural networks training, it would be beneficial to solve the corresponding optimization problems by means of unified AD tools.

In this context, the main goal is to combine AD tools that automatically generate the required first- and second-order quantities together with nonlinear optimization methods such as ALM for solving constrained problems (including inequality constraints).

Objective: investigate automatic differentiation tools for nonconvex optimization solvers that can rapidly converge with few function and derivative evaluations as well as provide and improve second-order information with the same efficiency and reliability as available for first-order information.

Task(s): formulate, develop and numerically evaluate enhancements/extensions of computational methods/algorithms including ALM for solving constrained nonconvex optimization problems. To address the computational performance objectives, the candidate will also actively participate to the design (extension) and evaluation of (existing) automatic differentiation tools for solving such optimization problems. Integration of these tools into a unified AD framework will be realized in cooperation with computational/numerical method experts. These tasks will be realized under the supervision of a senior (postdoc-level) researcher.

Duration: 2 years

Candidate profile:

MSc in applied mathematics, mathematical engineering, theoretical computer science, or computer science engineering.
Strong nonlinear modeling and mathematical programming skills.
Very good knowledge of techniques such as first-/second-order iterative methods, inexact methods and Krylov subspace methods ((B)CG, Lanczos, GMRES, MINRES, Arnoldi, etc.) for nonconvex optimization problems.
Experience in programming with nonlinear optimization libraries, e.g., LANCELOT/CUTE, MINOS, TRON, NLopt, etc.
Excellent written, verbal and interpersonal communication skills.
Knowledge of functional programming language (LISP, Julia, etc.) is considered as a plus.

Application requirements

Certified copy of the MSc diploma/certificate shall be included in annex of the CV.
The CV shall indicate the detailed coordinates of the current or eventually the last academic institution and department of the candidate.
The CV shall include a detailed list of publications/achievements in relation to the job description.
Note well: the candidate must have obtained his/her MSc degree from an academic institution of one of the EU countries.

Starting date: Jan.1st, 2021 (earliest) – Mar.31st, 2021 (latest).

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Open Source Community Architect

Huawei Leuven Research Center

Leuven, Belgium

Employee

Job Description

The Huawei European Research Institute is seeking an Open Source Community Architect to lead Huawei’s participation in key open source communities and projects in Europe. In this role, you will help Huawei create new open source communities and ecosystems for projects that Huawei is open sourcing across key technologies, such as AI, Cloud, and Operating Systems. You will bring together key participants, from developers to users, and work with major companies and open source organizations to foster the growth and adoption of these open source communities. And, you will guide the direction and goals of these communities and their projects in Europe.

As an Open Source Community Architect, you will work with key stakeholders across Huawei, including business groups and product lines, standards and industry experts, development teams, and marketing and communication teams. You must be a skilled organizer and be able to coordinate important events, meetups, and other activities. This position will require significant travel throughout Europe and also some global travel.

Primary Job ResponsibilitiesWork with key stakeholders to define goals for Huawei open source communities and projects in Europe

Grow and foster open source communities, ecosystems, and projects in Europe across key metrics
Engage with European projects, companies, and key organizations to establish the adoption of Huawei open source technologies in Europe
Support Huawei’s customers and partners in open source communities
Lead and engage in the European community management of Huawei’s open source projects
Promote Huawei’s open source communities and projects through blog posts, social media, video, and other engagement
Help manage Huawei’s open source community technical infrastructure
Bring regular feedback between Huawei’s businesses and stakeholders and open source communities in Europe

Required Skills

Exceptional understanding of open source and open source communities
Strong experience working with and building open source communities
Good understanding of key technology and industry trends
Good organizational skills and the self-motivation to work across new and complex environments
Strong English writing and speaking skills

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Open Source Software Senior Architect

Huawei Leuven Research Center

Leuven, Belgium

Employee

The role requires familiarity with iOS and/or Android Mobile App Software Development and experience in Programming Languages, such as: Agile Methodologies, Swift and Objective C. However, we are looking for someone who will be excited to develop a global technology and take the lead in a brand-new project, including nurturing a new ecosystem and transforming the company into a provider of consumer services and digital lifestyle.

The successful candidate will work alongside researchers, engineers and developers, who are involved on different features of the ecosystem. Therefore, commitment to collaborative problem solving, sophisticated design and creating quality products is essential.

The company is putting together a dynamic, geographically-distributed team. The successful candidate will be given a choice of working either in Leuven (Belgium) or Reading (UK).

Responsibilities:

Technical owner for current and future mobile applications.
Have a broad, but specialist knowledge of mobile application development.
Understand the development of mobile application features that meet the scope of their vision.
Knowledge of implementation of user interfaces to match design specs and wireframes.
Use and promote lean/agile software development principles and processes.
Work with multiple departments, including the Planning, Test and Software teams as well as customer services and feedback.
Knowledge of management and maintenance of any supporting tools critical to the development process as well as the maintenance of platform app store configuration.
Coaching and mentoring other team members to a strong standard to consistently achieve best practices.

Responsibilities include strategy development and planning for the creation and development of an ecosystem in Europe, including liaison with Open Source Foundations, such as: Eclipse, SUSE, KDE, Reactive, OW2, etc.

Travelling: International travel, mostly within Europe (25% of the time).

Qualifications and Skills:

Computer Science degree or other related University degree.
Knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.
Experienced developer with knowledge of Java for Android. Knowledge of Kotlin and ReactivateX - RXJava/RXKotlin would be beneficial.
Familiarity with RESTful APIs to connect Android applications to back-end services.
Knowledge of Android UI design principles, patterns and best practices.
Experience with offline storage, threading, and performance tuning.
Ability to design applications around natural user interfaces.
Knowledge of the Open Source Android ecosystem and the libraries available for common tasks.
Ability to understand business requirements and translate them into technical requirements.
Familiarity with cloud message APIs and push notifications.
Understanding of Android design principles and interface guidelines.
Proficient understanding of code versioning tools, such as GitHub.

Languages: fluent English (spoken and written), French and/or Dutch considered as positive assets.

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Power System Architect Expert

Huawei Leuven Research Center

Leuven, Belgium

Employee

Become familiar with the design process of Hisilicon chip firstly, and then cover the shortcomings from various aspects of the current low-power design; Meanwhile, lead a team to establish cooperation process together with the chip front-end team.

Responsibility:
1. Be proficient in digital circuit power management strategies;
2. Be familiar with foundry technology;
3. Be familiar with power management protocols, such as ACPI.

Specialized Knowledge:
1. Master or Ph.D. in Physics and Electrical Engineering, focusing on power circuit design and power management；
2. Background in low-power design, chip technology and power Integrity;
3. Knowledge of low power design and semiconductor processes.

Professional Skill：
1. 8+ years experience in low power and VLSI design;
2. Ability to provide end-to-end DVFS Strategies;
3. Familiarity with semiconductor processes;
4. Familiarity with analog circuit theory。
5. Master or Ph.D.

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Predictive Network Modeling Research Internship

Huawei Leuven Research Center

Leuven, Belgium

Student

Rough network data being typically unlabeled limits application of neural networks to unsupervised learning tasks (learning from unlabeled data). Tools for automated network data labeling becomes thus a first-level priority to enable supervised learning tasks (learning from hypothesis/candidate models) by means of neural networks. These neural networks are primarily those involved in nonlinear function approximation underlying automated pattern detection/extraction and recognition/identification such as multi-dimensional interaction modeling and their synthetic representation. In the context of communication networks, for instance, labeled datasets can be used for training neural models to augment -or even replace- current local routing and forwarding process.

On the other hand, a label can be considered as encoding the value of the objective function underlying the machine learning task or the parameter of a model (structured learning). Hence, automated labeling implies that either this objective or the model are formally known. This operation can be realized either in batch or online mode. The former typically assumes that the main performance criteria relates to the size of the input (assumed to be complete) that needs to be processed to reach a given accuracy level. The latter implies time-constrained processing of incoming input following different arrival processes; thus, the number of cycles/inter-arrival times required to reach a given accuracy level.

Objective: automatic labeling method of network data, including spatio-temporal data (traffic, etc.), structural data (topological, etc.)

Task: blends modeling, algorithmic and experimental research; the candidate will have the opportunity to explore, evaluate and compare different labeling algorithms by formal and numerical methods. These tasks will be realized under supervision of senior (postdoc-level) researcher.

Duration: from 6 months to 1 year (max.)

Candidate profile:

if MSc thesis: the candidate must be following the last year of the curriculum in, e.g., Applied mathematics, Math engineering, Theoretical computer science, Computer science engineering. Detailed coordinates of MSc promotor and his/her academic affiliation must be provided in the CV application form.
if internship: the candidate must have completed his MSc (in one of these disciplines). Copy of the MSc diploma/certificate shall be included in annex of the CV. The internship can also be considered as part of post-MSc graduation or PhD graduation program.
Good knowledge of traffic/network simulation is considered as a plus.

Note well: candidate must have obtained their University degree from an academic institution of one of the EU country.

Starting date: Oct.1st, 2020.

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Principal IC Design Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Our Huawei R&D teams develop next generation RF transceivers, supporting 4G (LTE) and 5G systems.

Today, we're seeking team players and technical leaders who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

We are offering a PRINCIPAL (RF/ANALOG/mixed-signal) IC DESIGN ENGINEER – TECHNICAL LEADER position enabling you to join the creation of the next generation mobile phone chips.

The ability to analytically reason on different circuit topologies, based on an overview of the state-of-the-art, select the right architecture and tweak the right parameters to meet stringent criteria for these circuits is your strength.

This role includes technical leadership, meaning technical hands-on expertise and excellent team skills; together with his/her teammembers, this candidate targets high and challenging standards on technical performance, product and process quality and project schedule.

You are/have:

MSEE with >15y industrial experience
Or relevant and excellent Ph.D., complemented by >10y industry experience
>8y proven technical team leadership
Excellent product track record
Excellent analytical skills
Expert in CMOS integrated circuit architectures and circuits
Good communication skills
Team-player
Result driven
Continuous strive for improvement in circuits and process
Detail oriented and determined
Willing to relocate to Leuven (Belgium)

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Principal MEMS Design Engineer

Huawei Gent Research Center

Gent, Belgium

Employee

Huawei Technologies Research & Development Belgium NV is a center of excellence for silicon photonics design and processing and for Optical MEMS. Huawei is the global No.2 telecom solution provider and uses approximately one sixth of all photonics components produced in the world.

Huawei aims to significantly reduce the cost of these components by investing aggressively in silicon photonics and MEMS (Micro-Electro-Mechanical Systems) research and development and implementing solutions based on these technologies. Huawei R&D Belgium (Caliopa) team is at the heart of this research and development. With optical products now in production at our foundries we are looking to strengthen our team with a Principal MEMS Design Engineer.

Main Responsibilities:

Electro-mechanical design of optical MEMS devices for concept through to production for applications in Optical Communications
Work collaboratively with other parts of the extended MEMS team in Huawei and at external partners

Requirements & Qualifications:

A degree in an Engineering or Physical Sciences
- Masters and/or PhD qualification or equivalent additional experience is preferred
Minimum 10 years post-qualification MEMS design experience (PhD counts as 1.5 years)
- At least 3 years of experience at principal level or equivalent is essential
- At least 3 years hands-on experience in Optical MEMS design is an advantage
- Experience of MEMS micromirror design is an advantage
- Industrial experience is an advantage
Sound grasp of MEMS transduction principles associated MEMS process, test and reliability
- Experience of electrostatic actuation is essential
- Experience of piezoelectric and electromagnetic actuation is an advantage
Proven track record in developing innovative MEMS designs
- Track record of design transitioning to production is an advantage
- Strong awareness of Intellectual Property is desirable
Advanced skills in simulation using leading CAD design packages for MEMS
- Evidence of application of failure mode effects analysis (FMEA) is an advantage
- Experience of MEMS design transfer to a captive or commercial foundry is desirable
- Experience in using MATLAB Simulink and/or Python to run system level simulations with reduced order models and linking other simulation packages is an advantage
Strong analytical skills with an ability to work effectively both independently and with other parts of the extended team in Europe and China
- to advise on the potential impact of process and packaging design choices on MEMS performance and reliability
- to help define appropriate MEMS device tests and interpret the associated data
  - experience of optical MEMS testing is an advantage
- Language
  - Fluent in English (written and spoken)
    - Dutch or Chinese language knowledge is a plus
  - Attitude
    - Strong team player
    - Excellent written and oral communication skills
    - Eye for detail but also able to take high-level perspective when appropriate
    - Organized, structured worker
    - Continuous improvement spirit

Huawei Technologies R&D Belgium NV is headquartered in Belgium and this role is based in the vibrant city of Ghent, however, it is likely that the role will involve international travel (10-20%).

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Research Manager

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei’s vision is to enrich people's lives through communication. By leveraging our experience and expertise in the telecom sector, we help bridge the digital divide and give people the opportunity to join the information age, regardless of their geographic location.

Huawei’s European Research Institute (ERI), headquartered in Leuven, comprises 18 sites in 12 countries where Huawei is performing advanced technical research in different fields in order to realize the vision of a world-leading research center for innovative technologies and platforms enabling the development of world-class products and solutions.

Based in Leuven, Belgium, the head-quarter of the European Research Institute we are looking for a: Cooperative Manager / Innovation Mgr / Research Manager.

Your Responsibilities will be:

- analyze latest research developments and trends in Europe

- analyze their fit to the needs and strategy of Huawei

- propose technology roadmaps for the European Research Institute

- plan for the annual cooperation and technology strategy of the European Research Institute

- propose and plan participation in publicly funded projects

- follow European research activities in some or all of the following domains :

Wireless communication
Internet of Things
Software Defined Networks and Network Function Virtualization
Cloud and Big Data
Machine learning
IT-architecture
Optical communication
Next generation smart phones and wearables
Semiconductors
MEMS and sensors

We are looking for an expert (m/f) who has significant experience in the field of cooperation management in the industry.

Requirements & Qualifications (domain specific, partial qualifications taken into account)

M.Sc. or higher degree in computer science, electrical engineering, informatics or in another domain-related technical discipline
Experience in industry research
Fluent in English (written and spoken), French or/and German and/or Chinese would be a plus
Experience in publicly funded projects e.g. FP7, H2020
The proven ability to build relationships with universities and research institutions
A deep understanding of the academic, commercial, and partnership research landscape
Minimum of 5 years working experience specifically in cooperation strategy development
Technology planning and strategy development in a high-tech environment.
Research experience either in or related to one of the above mentioned technologies
Broad horizon about the required technologies
European wide travels are required
Excellent intercultural communication and coordination skills
Excellent interpersonal skills, team-work spirit and independent working capability
Experience with Asian business culture is a plus
Hands-on and can-do attitude
Willing to travel +/- 50%

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Search Marketing Manager

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Job Description:

We are looking for a Marketing Manager to enhance and support our Search Marketing.

About The Job

As a Search Product Marketing Manager, you will be involved in the entire marketing strategy from planning to execution, while also working with a cross-functional team including colleagues from R&D, operations, legal, and PR departments, among others, to help shape the voice and image of products.

Responsibilities:

Design/manage and implement Huawei search brand specifications.
Using market insights, formulate marketing strategies and take charge of marketing planning and execution of the product's entire life cycle. Through analysis of competing products, you will be responsible for selling point mining, marketing story design, multi-wave campaign planning and execution, planning and execution of other key activities, to continue to attract the attention of users and follow up changes based on their needs.
Create marketing materials such as PPTs/white papers.
Responsible for the planning and generation of published content, "story plan", core KM extraction and in-depth development, as well as for related interpretation and access to related content channels.

Business skill requirements:

Marketing insight and analytic skills.
Strong activity planning skills.
Strong project management skills.
Ability to write marketing materials.
Excellent organization, coordination, and teamwork skills, and strong sense of responsibility.
Strong communication skills.
Comfortable with using English as a working language.

Professional knowledge requirements

Bachelor degree or above, at least two years of experience relating to Internet search products, familiarity with Internet technologies, and data analysis skills.
Knowledge of marketing methodologies and marketing processes, deep understanding of key marketing operations of Internet products.
Experience in advertising, news, or marketing.

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Senior Analog IC Layout Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Huawei Leuven R&D team develops next generation RF transceivers, supporting 4G (LTE) and 5G protocols.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

Assignment Description

We are offering a senior layout engineer position enabling you to join the creation of the next generation mobile phone chips.

The Senior Analog IC Layout Engineer will be part of an experienced layout team. In close cooperation with his colleagues he will be in charge of the layout of high speed analog and RF circuits and he will take up a leading role in the floorplanning and optimization of the system on chip.

He is an expert user of Cadence and Mentor tool suites on nanometer RF CMOS and/or RF SOI technology.

The successful candidate will work closely with the RF designers. He/she will take into account the constraints from the designer and will go through iterations with the designer to further optimize the layout from a performance and area perspective.

RF circuit layout experience in the sub 10-Ghz range is mandatory.

The layout engineer should have a good understanding of the different circuit topologies and their constraints for the layout. implementation. Good understanding of the layout rules enables to optimize the implementation.

The senior layout engineer is also capable to perform extraction of parasitic and make the interpretation of these results in view of further optimization.

Required Education and Experience:

Industry Degree qualified (BS or MS EE degree)
Ample experience with the Cadence OA VirtuosoXL
Experience with RFIC layout (GHz range) in CMOS technology
Finfet experience is a major plus.
Automation for layout is a plus.
Good communication skills & team-player.
Process oriented, ability to structure the RF layout process
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Relocation to Belgium, if applicable, is strongly recommended.

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Senior Data Scientist, Engineering - Routing

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Research Engineer - Routing to join our Map team in Amsterdam.

Fail fast is the motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with our competitors, and we are building with unprecedented speed to create the features that will be shipped in the next-gen releases of our products used by hundreds of millions.

Joining our team means joining an epic endeavour. Calling our environment dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active, to take initiative and to show leadership. If you want to lead the way we offer you plenty of room and support. We highly value team work, which shows in the way we organise projects and research. Of course we have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD, in order to guarantee the sustainability of our R&D projects. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. And we are an international team, hoping to onboard the 15th nationality by the end of the year.

The mission of the routing team is to drive innovation in the area of route planning, associated products such as ETAs and any downstream/upstream dependencies affecting the end-user’s perception of route quality. Our team operates in the intersection of algorithm design, system design, data engineering, sensor fusion, statistical modeling and machine learning, chiefly focusing on researching novel approaches leading to faster, more accurate and more flexible route planning, as well as achieving travel time accuracy to the minute, for any user in any context.

As member of the team you will contribute to our to our innovation portfolio with your ideas, code and models. You are not only expected to prototype and demonstrate cutting edge approaches, but also to participate in research projects that lead to papers and patents. If you have an exotic idea around route planning, upstream dependencies (e.g. traffic models) or downstream last-mile routing applications (e.g. parking prediction), we not only want to hear about it, we want to see it in action!

Requirements

Bachelors or Master’s degree in quantitative field such as Computer Science, Physics or Statistics from a top university
5+ years’ experience developing applied research projects end-to-end, from experimental design to product, preferably in the area of routing algorithms, route choice modelling, ETAs, positioning data or traffic assignment
Expert knowledge on at least one of Python or Julia
Good command of scientific computing tool kits such as pandas, dask, scikit-learn, pycaret, keras, tensorflow, jupyter-lab, etc.
Experience with building ETL pipelines leveraging latest technologies and techniques (e.g. apache airflow, kafka, spark, etc.)
Solid understanding on statistical principles and/or machine learning models
Demonstrated leadership and independence when idealising, conducting and promoting research projects
Strong communication and presentation skills

We highly value PhD’s in the area of graph search / machine learning, in which case 2+ years of experience is sufficient.

Furthermore we expect you to tick at least two of the following boxes:

Experience with large scale routing or graph algorithms in production
Experience using cloud services (e.g. AWS, Google Cloud, Azure)
Domain expertise in the area of location based services (e.g. mapping, localisation, routing, traffic)
Experience with devops (Docker, k8s, vagrant, AWS, google cloud)
Adherence with sustainable coding and craftsmanship principles

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Senior Knowledge Graph Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

We are looking for Go engineers passionate about data unification, graph databases and knowledge graphs.

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience with Huawei Mobile Service (HMS). You will work within a fast-paced international team of expert scientists and engineers, and you will have the opportunity to learn, experiment and build a state of the art, highly performant and infinitely scalable knowledge graph engine that will power the search experience of millions of users. You will be the technical leader delivering the centerpiece of a huge scale system that allows data residing in isolated silos to be ingested, unified, processed, analyzed and served. Services across the organization will directly benefit from your input: E-commerce, Q&A systems, Machine Translation, User Recommendations, NER, NLU and various Classification tasks.

Responsibilities

Design, develop, test and deploy solutions able to handle terabytes of graph data.
Conceive, design and implement REST and GraphQL APIs.
Continuously research, assess and recommend new technologies, methods and processes.
Build prototypes and convince business units of the benefits of all new technologies
Provide hands-on technical and thought leadership across development, product management, operations, and engineering management
Pave the way for innovative research projects in the fields of entity disambiguation, graph reconciliation, context extractions etc.
Help build a positive, energetic and most importantly cool team culture.

Requirements

Practical experience with Go
Practical experience with any of the following technologies would be considered a big plus: Graph databases, Knowledge graphs, Ontology management, Docker, Kubernetes, Istio, gRPC, Protobuffers, Redis, RocksDB, Python, Tensorflow, PyTorch
Hands on experience and a strong track record of engineering excellence including continuous delivery of high quality, massively scaled, innovative software.
Expertise in Test-Driven Development and establishing a DevOps practice is a plus
An active developer’s profile on Github, Gitlab, StackOverflow etc.
Work well independently and in multi-group cross-discipline environment.
A strong technical foundation and strong communication on ideas, reasoning, benefits, costs, and risks to multiple audiences.
Excellent communication and collaboration skills in English.

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Senior Map Search NLP Research Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Senior Research Engineer NLP Map Search to join our Map team in Amsterdam.

Fail fast is a motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with well-known competitors, and we are building with unprecedented speed. The Amsterdam team contributes with innovations. We invent and create prototypes of features that will shipped in the next release of our map app, map sdk, and map partner platforms. We follow the state of the art and we strive to surpass it.

Joining our team is the start of an intense journey. To say that our environment is dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active. We are encouraging initiative and leadership. If you want to lead the way we offer you plenty of room. We highly value team work, which shows in the way we organise projects and research. We have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. Further it is possible to visit scientific conferences. We are an international team, hoping to onboard the 15th nationality by the end of the year.

The mission of the map search team is to draw upon the latest developments from NLP, to create a search experience that is continuously improving. We create POC’s for features that go into the next release. Our team is just starting. One of our goals is to conduct research in NLP and search. Topics that we work on are language translation, query expansion and search personalization. A large team of NLP specialists is located a few desks away, making it easy to collaborate with specialists in the field.

As member of the team you will follow the literature on NLP, contribute to POC’s, take part in research projects, and drive new initiatives in the area. Part of the research projects are expected to materialize into papers and patents.

Requirements

Master’s or PhD degree in computer science, mathematics, statistics, physics, or a related field
5 years’ working experience in the area of NLP, search, and information retrieval. In case of a PhD 2 years.
Strong Python skills
Solid understanding of language models and deep learning architectures for NLP for various tasks (translation, text classification, query expansion)
Proficient with PyTorch or TensorFlow
Strong with NLP libraries like spaCy, NLTK, pyglot, Gensim

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Senior Product Manager Searching Tools

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

Responsibilities

Build a long term product vision and value proposition based on customer needs, competitive analysis and overall Huawei CloudService strategy. Product differentiation is key.
Define product roadmap and set engineering priorities. Work closely with Huawei mobile phone and cloud service teams to collect market feedback and re-align roadmaps.
Create detailed functional and non-functional requirements and work closely with R&D to guide the product development phase on all dimensions including content, timing, quality etc.
Evangelize product vision and value propositions to customers, partners and internal stakeholders.
Responsible for GTM readiness, sales enablement and business development support.
Support business operations and monetization teams in defining and implementing an appropriate licensing and commercial model.

Qualifications

Prior experience as a Product Manager defining and managing product roadmaps, business case analysis, customer presentations etc.
A deep sense of search market, product and ecology.
Expert level knowledge either in the NLP, Knowledge Graph, Bigdata platform, Information Retrieval, etc.
Data driven approach to problem solving and pay attention to detail without losing sight of the big-picture.
Strong communication and influencing skills – both for internal and external stakeholders.
Independent thinker and self-starter that operates with a sense of urgency and is able to research and present findings with minimal direction.
A pragmatic approach and the ability to thrive under pressure of constant change and moving objectives. Ability to work in a changing, dynamic environment.
Good understanding of the software development life cycle and product life cycle.
Knowledge of data analytics, statistics, machine learning and willingness to build advanced skills in this area.
Product manager experience in search related companies like Google Search, Microsoft Bing, TomTom, Hear, Yandex, etc. is a plus.

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Senior Research Engineer - Positioning

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Research Engineer Positioning to join our Map team in Amsterdam.

Fail fast is a motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with well-known competitors, and we are building with unprecedented speed. The Amsterdam team contributes with innovations. We invent and create prototypes of features that will shipped in the next release of our map app, map sdk, and map partner platforms. We follow the state of the art and we strive to surpass it.

Joining our team is the start of an intense journey. To say that our environment is dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active. We are encouraging initiative and leadership. If you want to lead the way we offer you plenty of room. We highly value team work, which shows in the way we organise projects and research. We have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. Further it is possible to visit scientific conferences. We are an international team, hoping to onboard the 15th nationality by the end of the year.

Our team in Amsterdam creates solutions that deliver excellent positioning under all circumstances. We make use of the latest advances in positioning to boost the performance of our android-based positioning system. This includes creating POC’s, keeping track of the literature and taking initiatives regarding new projects in this field. Further we expect you to contribute to research that will be published or that leads towards patents.

Requirements

- PhD or Masters degree in engineering, mathematics, computer science or related field
- 3+ years working experience in signal processing and information filtering
- Proficient with state estimation, Bayesian filtering, particle filtering and Bayesian inference
- 1+ years experience with IMU, GPS, and INS
- Proficient in C++, Python or Matlab

Preferred qualifications

- Experience computer vision based navigation, like visual slam, tracking, object detection
- Knowledge of machine learning and deep learning
- Experience with time series processing and signal processing
- Experience with machine learning on sensor data in similar domains (audio, wearables, predictive maintenance)
- Experience with autonomous driving or mapping

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Senior RF IC Layout Engineer

Huawei Leuven Research Center

Leuven, Belgium

Employee

Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Huawei Leuven R&D team develops next generation RF transceivers, supporting 4G (LTE) and 5G protocols.

Today, we're seeking team players who get things done and share a passion for bringing new wireless technologies to the rapidly growing mobile market. Now is your chance to join the engineering team and develop new, world-leading products.

Assignment Description

We are offering a senior layout engineer position enabling you to join the creation of the next generation mobile phone chips.

The Senior RF IC Layout Engineer will be part of an experienced layout team. In close cooperation with his colleagues he will be in charge of the layout of high speed analog and RF circuits and he will take up a leading role in the floorplanning and optimization of the system on chip.

He is an expert user of Cadence and Mentor tool suites on nanometer RF CMOS and/or RF SOI technology.

The successful candidate will work closely with the RF designers. He/she will take into account the constraints from the designer and will go through iterations with the designer to further optimize the layout from a performance and area perspective.

RF circuit layout experience in the sub 10-Ghz range is mandatory.

The layout engineer should have a good understanding of the different circuit topologies and their constraints for the layout. implementation. Good understanding of the layout rules enables to optimize the implementation.

The senior layout engineer is also capable to perform extraction of parasitic and make the interpretation of these results in view of further optimization.

Required Education and Experience:

Industry Degree qualified (BS or MS EE degree)
Ample experience with the Cadence OA VirtuosoXL
Experience with RFIC layout (GHz range) in CMOS technology
Finfet experience is a major plus.
Automation for layout is a plus.
Good communication skills & team-player.
Process oriented, ability to structure the RF layout process
Continuous strive for improvement in circuits and process.
Detail oriented and determined
Relocation to Belgium, if applicable, is strongly recommended.

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Senior Software Engineer - Map Search

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for a Senior Software Engineer – Map search to join our Map team in Amsterdam.

Fail fast is a motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with well-known competitors, and we are building with unprecedented speed. The Amsterdam team contributes with innovations. We invent and create prototypes of features that will shipped in the next release of our map app, map sdk, and map partner platforms. We follow the state of the art and we strive to surpass it.

Joining our team is the start of an intense journey. To say that our environment is dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active. We are encouraging initiative and leadership. If you want to lead the way we offer you plenty of room. We highly value team work, which shows in the way we organise projects and research. We have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. Further it is possible to visit scientific conferences. We are an international team, hoping to onboard the 15th nationality by the end of the year.

The mission of the map search team is to draw upon the latest developments from NLP, to create a search experience that is continuously improving. We create POC’s for features that go into the next release. Our team is just starting. One of our goals is to conduct research in NLP and search. Topics that we work on are language translation, query expansion and search personalization. A large team of NLP specialists is located a few desks away, making it easy to collaborate with specialists in the field.

As member of the team you will follow the literature on NLP, contribute to POC’s, take part in research projects, and drive new initiatives in the area. Part of the research projects are expected to materialise into papers and patents.

Requirements

Bachelors or Master’s degree in Computer Science or related field
5+ years’ experience developing production systems
Be proficient in Python, Java, or C++
Experience with quick prototyping
Experience in at least one of the areas: information retrieving, natural language processing, data mining, full text search, ranking
Solid understanding of common machine learning algorithms

Preferred qualifications:

- Experience in geocoding services.
- Experience in designing and building large-scale distributed systems
- Dev-ops experience

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Senior Speech Recognition Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Employee

We are looking for 3 Superstars who have expertise in Speech Recognition/Text-To-Speech for our Search Engine team in Amsterdam

The Search Team in Huawei’s Amsterdam R&D Center is building an industry-leading Cloud Search product that powers the search experience with Huawei Mobile Service (HMS). You will work within a fast-paced international team of expert scientists and engineers, and be responsible for state-of-the-art ASR and TTS R&D to enable natural speech interface between human and machine.

Responsibilities

Design, develop, test and deploy multi-lingual cloud and embedded ASR/TTS systems.
Process and manage big data.
Deliver accurate and fast speech products for over 40 languages around the globe.
Apply error analysis of deployment or/and recognition issues.
Participate innovative research projects which may lead to scientific publications and patents, such as end2end systems, RNN-transducer, Tacotron TTS and etc.
Collaborate closely with speech teams in China and Finland.
Help build a positive, energetic and most importantly COOL team culture.

Requirements

Master’s in Computer Science, Applied Mathematics, Physics or Statistics. PhD is a plus.
Strong background in deep learning, ASR and TTS.
At least 3 years of industrial hands-on experience of implementing and deploying large scale machine learning systems.
Strong analytic skills related to working with ASR&TTS systems.
Strong proficiency in Python and C++ and experience with at least one deep learning framework like PyTorch and Tensorflow.
Excellent communication and collaboration skills in English.
Proficiency in 1 or 2 languages besides English is a plus.

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Silicon Photonics Design Engineer

Huawei Gent Research Center

Gent, Belgium

Employee

Huawei Belgium Research and Development Group (formally Caliopa) is a center of excellence for silicon photonics design and processing. It was initially created as a spin-off from the University of Gent and Imec in 2010 but it has been acquired by Huawei in 2013. Huawei is the global No.2 telecom solution provider and uses approximately one sixth of all photonics components produced in the world.

Huawei aims to significantly reduce the cost of these components by investing aggressively in silicon photonics research and development and implementing solutions based on this technology. Huawei Belgium R&D group is at the heart of this program. The group is located in Gent, a vibrant city in Belgium in the heart of Europe.

To strengthen our team, Caliopa is now looking for a Photonics Design Engineer.

Job responsibilities:

Work as part of a team of photonic design engineers dedicated to developing Huawei’s silicon photonics platform
Design and validate photonic components, subsystems and circuits
Define test plans and analyze experimental data in R&D phase
Work closely with components/modules teams
Work closely with the processing and test teams
Depending on your skills and interests, the job can focus more on developing and optimizing the building block library, next-generation product development or developing cutting edge technologies for application further in the future

Requirements & Qualifications:

In depth knowledge of integrated optics
Education requirements:
- Ph.D. in Photonics, Electrical Engineering, Physics, or related field
- M.S. in Photonics, Electrical Engineering, Physics, or related field + 2 years of work experience in a photonics research center or foundry

Experience requirements:
- Design and test of photonic components in silicon photonics or III-V materials
- Experience with design and test of high speed photonics active components would be an advantage
- Hands on experience with photonics modelling tools (e.g. Photon design, Lumerical, COMSOL, CST)
- Hands on experience with layout tools (e.g. Tanner L-Edit, Luceda Ipkiss). Experience with Luceda Ipkiss would be an advantage
- Experience with Python would be an advantage
- Experience with Linux or C# would be an advantage
Language:
- Fluent in English (written and spoken),
- Dutch or Chinese language knowledge is a plus
Attitude:
- Strong team player
- Excellent written and oral communication skills
- Creativity in problem-solving
- Continuous improvement

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Spontaneous Application

Huawei Leuven Research Center

Leuven, Belgium

Employee

Spontaneous Application

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System Engineer

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

We are looking for an experienced Systems Engineering to join Huawei cloud system engineering department in Finland Research Center, which is responsible for global cloud service O&M and provides 24/7 cloud service stability and security services. It is a unique opportunity which focuses specifically on Huawei mobile services reliability, availability, monitoring/alerting, and capacity planning within EU region.

You will be working closely with global System Engineers and R&D teams to ensure services/applications running normally, optimize the deployment and monitoring of mission critical, customer-facing systems across public cloud environments and continuously identify improvements in the existing deployment approaches and automation workflows.

The successful candidate should have people management experience, be a strong communicator willing to work with geo-dispersed cross-functional teams, critical problem solver comfortable analysing complex technical issues and bring them to resolution within strict SLAs, fast learner and self-motivated who likes taking on new challenges in a fast paced environment where you have the freedom to deliver impact at your own pace.

Key Responsibilities

Support and lead engineers working on Huawei Mobile Services deployment, at different layers of the stack, on challenges related to scalability, reliability, performance and efficiency of systems
Administer, maintain, and automate systems to ensure reliability, resiliency, scalability and security
Monitor and debug issues across the Huawei Mobile Service (applications, networks, databases), provide technical resolutions and root cause analysis for high severity incidents
Work closely with Software R&D teams to design, deploy, and operate components/services that are automated, resilient, and scalable
Develop and deliver timely reports on service metrics including but not limited to availability, capacity, performance, and latency across all production systems
Continuously improve System Engineering operations (e.g. automate routine tasks, document new procedures etc.). Set standards for deployments at scale, infrastructure reliability and scalability.
Ad-hoc on-call support may be required (1 week per 2 months on average or less).
Manage and grow existing team of System Engineering experts. Build and enrich an inclusive work environment comprised of people from diverse backgrounds
Work closely with System Engineering Director and dedicated recruiting staff to expand the team including interviewing candidates, participating in conferences/events, and on-boarding new employees

Minimum Qualification

Bachelor’s Degree in Computer Science / Telecommunications or equivalent experience related to Information Technology, with at least 3+ years’ experience as an Internet distributed Systems Engineer or SRE managing a SaaS / PaaS environment (e.g. AWS basis application)
Deep experience managing Linux and/or databases (e.g. MySQL)
Experience in network technologies (e.g. TCP/IP, Ethernet, UDP, DHCP, DNS, ARP, WAN routing)
Solid understanding of incident management, change management, and problem management
Systematic problem-solving approach, coupled with effective communication skills and a sense of drive

Preferred Qualification:

Experience configuring and deploying VMs and Cloud Infrastructure (AWS, Azure).
Scripting language knowledge (e.g. Bash or Python);
Experience working with Ansible or similar automation tools
Experience with Apache/Tomcat basis application maintenance.

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Test Engineer (Consultant)

Huawei Amsterdam Research Center

Amsterdam-Zuidoost, Netherlands

Freelance

Test Engineer

We are looking for a Test Engineer to join our Map team in Amsterdam

The Map Team in Huawei’s Amsterdam R&D Center is building an industry-leading Huawei Map product that powers the map experience on Huawei mobile phones. Huawei Maps (Petal Maps) is a map application created by Huawei which supports 140+ countries and provides a wealth of functions. There are functions such as POI search, driving navigation, walking navigation, cycling navigation, real-time traffic information, etc.

Responsibilities

Acceptance test and experience test of the online function of Huawei Petal Maps.
Navigation test (road scene test and navigation voice test).
Localized search test.
Data platform function test.

Requirements

Bachelor degree or above in computer science
Have more than 1 year experience in functional testing or experience testing.
Have good communication skills and good collaboration skills
Language requirements: English

Bonus points

Experience in testing leader is preferred.
Those who can use Chinese or other small languages are preferred.
Familiar with Google Maps is preferred.
Familiar with local roads is preferred.
Driver's license is preferred.

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